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[V1.1.0] Iteration 3 (#1329)
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* [V1.1.0] Final before release.

 - We are making the final adjustments and then we will release the v1.1.0.

* correcting kprototype example

* Update __init__.py

* Correcting Fortify issues

SHould close: https://jira.verticacorp.com/jira/browse/VER-97398?filter=-1

* adding minimum version to QPROF

* corrections

multiple corrections

* other changes

* del image files

* added pngs

* fixed images in about us

* fixed doc versions

* Update examples.rst

* Delete user_guide_performance_qprof_get_qplan_tree.PNG

* Create user_guide_performance_qprof_get_qplan_tree.png

* Update getting_started.rst

fixed website uRL

* Update qprof.py

removed unnecessary note

* Update user_guide_performance_qprof.rst

* Update user_guide_introduction_vdf.rst

* corrections

* Update user_guide_introduction_vdf.rst

* changing the wrong dir

* added custom help function for shorter doc string view

* updated whatsnew

* Update qprof_interface.py

---------

Co-authored-by: Umar Farooq Ghumman <[email protected]>
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oualib and mail4umar authored Oct 30, 2024
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44 changes: 22 additions & 22 deletions docs/source/about_us.rst
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Expand Up @@ -206,58 +206,58 @@ Team Members

.. grid-item::

.. card:: Fouad Teban
.. card:: Arash Fard
:img-top: _static/website/about_us/team/member3.jpg
:link: #
:text-align: center
:class-card: member-pics-card

Customer Engineering
Senior ML Engineer

.. grid-item::

.. card:: George Larionov
:img-top: _static/website/about_us/team/member4.jpg
.. card:: Fouad Teban
:img-top: _static/website/about_us/team/member14.jpg
:link: #
:text-align: center
:class-card: member-pics-card

ML Engineer & Scrum Master
Customer Engineering

.. grid-item::

.. card:: Matteo Monaldi
:img-top: _static/website/about_us/team/member5.jpg
.. card:: George Larionov
:img-top: _static/website/about_us/team/member10.jpg
:link: #
:text-align: center
:class-card: member-pics-card

Lead Data Scientist
ML Engineer & Scrum Master

.. grid-item::

.. card:: Abdelhak Zabour
:img-top: _static/website/about_us/team/member6.jpg
.. card:: Matteo Monaldi
:img-top: _static/website/about_us/team/member8.jpg
:link: #
:text-align: center
:class-card: member-pics-card

Data Scientist
Lead Data Scientist

.. grid-item::

.. card:: Arash Fard
:img-top: _static/website/about_us/team/member7.jpg
.. card:: Abdelhak Zabour
:img-top: _static/website/about_us/team/member9.jpg
:link: #
:text-align: center
:class-card: member-pics-card

Senior ML Engineer
Data Scientist

.. grid-item::

.. card:: Roy Paulin
:img-top: _static/website/about_us/team/member8.jpg
:img-top: _static/website/about_us/team/member13.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -267,7 +267,7 @@ Team Members
.. grid-item::

.. card:: Xiaozhong Zhang
:img-top: _static/website/about_us/team/member9.jpg
:img-top: _static/website/about_us/team/member12.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -277,7 +277,7 @@ Team Members
.. grid-item::

.. card:: Zachary Nowak
:img-top: _static/website/about_us/team/member10.jpg
:img-top: _static/website/about_us/team/member11.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -287,7 +287,7 @@ Team Members
.. grid-item::

.. card:: Abhishek Sharma
:img-top: _static/website/about_us/team/member11.jpg
:img-top: _static/website/about_us/team/member4.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -297,7 +297,7 @@ Team Members
.. grid-item::

.. card:: Vikash Singh
:img-top: _static/website/about_us/team/member12.jpg
:img-top: _static/website/about_us/team/member5.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -307,7 +307,7 @@ Team Members
.. grid-item::

.. card:: Tyler Consigny
:img-top: _static/website/about_us/team/member13.jpg
:img-top: _static/website/about_us/team/member6.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -317,7 +317,7 @@ Team Members
.. grid-item::

.. card:: Kevin Xu
:img-top: _static/website/about_us/team/member14.jpg
:img-top: _static/website/about_us/team/member15.jpg
:link: #
:text-align: center
:class-card: member-pics-card
Expand All @@ -327,7 +327,7 @@ Team Members
.. grid-item::

.. card:: Brent Eynon
:img-top: _static/website/about_us/team/member15.jpg
:img-top: _static/website/about_us/team/member7.jpg
:link: #
:text-align: center
:class-card: member-pics-card
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2 changes: 1 addition & 1 deletion docs/source/api.rst
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Expand Up @@ -17,7 +17,7 @@ API Reference
VerticaPy
</div>
<div style="text-align: center; font-size: 18px; font-weight: bold;">
Documentation 1.0.x
Documentation 1.1.x
</div>


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6 changes: 3 additions & 3 deletions docs/source/cicd_codecov.rst
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Expand Up @@ -21,7 +21,7 @@ For the latest statistics on code-coverage of
```verticapy``` please look at
`this link <https://app.codecov.io/gh/vertica/VerticaPy>`_.

.. image:: /_static/img_code_coverage_1.PNG
.. image:: /_static/img_code_coverage_1.png
:width: 50%
:align: center

Expand All @@ -31,7 +31,7 @@ Not only does it provide a wholistic view of the
contributors and in-depth understanding of which
folders/functions are lacking behind the most.

.. image:: /_static/img_code_coverage_2.PNG
.. image:: /_static/img_code_coverage_2.png

In the details, we can see the total number of lines
as well as the number of lines in each folder that have
Expand All @@ -42,7 +42,7 @@ at the exact lines that are missing unit tests.
This can guide contributors in understanding the
gaps in testing.

.. image:: /_static/img_code_coverage_3.PNG
.. image:: /_static/img_code_coverage_3.png

In summary, developers use code coverage tools to gain
insights into which parts of their code are well-tested
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2 changes: 1 addition & 1 deletion docs/source/contribution_guidelines.rst
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Expand Up @@ -19,7 +19,7 @@ Contribution Guidelines
VerticaPy
</div>
<div style="text-align: center; font-size: 18px; font-weight: bold;">
Documentation 1.0.x
Documentation 1.1.x
</div>


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2 changes: 1 addition & 1 deletion docs/source/examples.rst
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Expand Up @@ -48,7 +48,7 @@ Examples
:class-card: custom-card-examples
:class-footer: user_guide_footer

10 Nmins
10 Notebooks
^^^^^^^^^^^^^^
Solve real-world problems with VerticaPy.

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19 changes: 19 additions & 0 deletions docs/source/examples_business.rst
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Expand Up @@ -23,6 +23,7 @@ Business
optimizing base station operations. Simplify your exploration of
base station efficiency predictions with our user-friendly approach.

.. grid-item::

.. card:: Battery
:img-top: _static/website/examples/images/battery.jpg
Expand All @@ -39,6 +40,8 @@ Business
overall health. Simplify your exploration of battery health
predictions with our user-friendly approach.

.. grid-item::

.. card:: Booking
:img-top: _static/website/examples/images/booking.jpg
:link: examples.business.booking
Expand All @@ -54,6 +57,8 @@ Business
into optimizing booking strategies. Simplify your exploration
of flight booking predictions with our user-friendly approach.

.. grid-item::

.. card:: Churn
:img-top: _static/website/examples/images/churn.jpg
:link: examples.business.churn
Expand All @@ -69,6 +74,8 @@ Business
retaining subscribers. Simplify your exploration of Telco
churn predictions with our user-friendly approach.

.. grid-item::

.. card:: Credit Card Fraud
:img-top: _static/website/examples/images/credit_card_fraud.jpg
:link: examples.business.credit_card_fraud
Expand All @@ -86,6 +93,8 @@ Business
Simplify your exploration of credit card fraud predictions
with our user-friendly approach.

.. grid-item::

.. card:: Football
:img-top: _static/website/examples/images/football.jpg
:link: examples.business.football
Expand All @@ -102,6 +111,8 @@ Business
match results. Simplify your exploration of football outcome
predictions with our user-friendly approach.

.. grid-item::

.. card:: Insurance
:img-top: _static/website/examples/images/insurance.jpg
:link: examples.business.insurance
Expand All @@ -118,6 +129,8 @@ Business
Simplify your exploration of health insurance predictions with our
user-friendly approach.

.. grid-item::

.. card:: Movies
:img-top: _static/website/examples/images/movies.jpg
:link: examples.business.movies
Expand All @@ -134,6 +147,8 @@ Business
into the potential success of films. Simplify your exploration
of movie rating predictions with our user-friendly approach.

.. grid-item::

.. card:: Smart meters
:img-top: _static/website/examples/images/smart_meters.jpg
:link: examples.business.smart_meters
Expand All @@ -150,6 +165,8 @@ Business
into optimizing resource efficiency. Simplify your exploration of
smart meter consumption predictions with our user-friendly approach.

.. grid-item::

.. card:: Spam
:img-top: _static/website/examples/images/spam.jpg
:link: examples.business.spam
Expand All @@ -166,6 +183,8 @@ Business
enhancing your inbox security. Simplify your exploration of
spam detection predictions with our user-friendly approach.

.. grid-item::

.. card:: Spotify
:img-top: _static/website/examples/images/spotify.jpg
:link: examples.business.spotify
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6 changes: 3 additions & 3 deletions docs/source/examples_business_base_station.rst
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Expand Up @@ -40,7 +40,7 @@ This example uses the following version of VerticaPy:
vp.__version__
Connect to Vertica. This example uses an existing connection called "VerticaDSN."
Connect to Vertica. This example uses an existing connection called ``VerticaDSN``.
For details on how to create a connection, see the :ref:`connection` tutorial.
You can skip the below cell if you already have an established connection.

Expand Down Expand Up @@ -402,7 +402,7 @@ Data Preparation
Finding Clusters of Base Stations
++++++++++++++++++++++++++++++++++

We create virtual base stations by grouping existing base stations in 100 clusters. Clustering is performed using ``k-means`` clustering on Euclidean coordinates of the base stations. Each cluster represents a wider coverage of connections.
We create virtual base stations by grouping existing base stations in 100 clusters. Clustering is performed using :py:mod:`~verticapy.machine_learning.vertica.cluster.KMeans` clustering on Euclidean coordinates of the base stations. Each cluster represents a wider coverage of connections.

.. ipython:: python
Expand Down Expand Up @@ -725,7 +725,7 @@ Let's find a suitable number of clusters using elbow curve.
.. raw:: html
:file: SPHINX_DIRECTORY/figures/examples_base_station_elbow_longi_lati.html

The :py:func:`~verticapy.machine_learning.model_selection.elbow` curve seems to indicate that 4 would be a good number of clusters, so let's try k = 4 and view the weighted ``k-means`` algorithm's suggested positions for new base stations based on the centers of the clusters.
The :py:func:`~verticapy.machine_learning.model_selection.elbow` curve seems to indicate that 4 would be a good number of clusters, so let's try k = 4 and view the weighted :py:mod:`~verticapy.machine_learning.vertica.cluster.KMeans` algorithm's suggested positions for new base stations based on the centers of the clusters.

.. ipython:: python
:okwarning:
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2 changes: 1 addition & 1 deletion docs/source/examples_business_battery.rst
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Expand Up @@ -48,7 +48,7 @@ This example uses the following version of VerticaPy:
import verticapy as vp
vp.__version__
Connect to Vertica. This example uses an existing connection called "VerticaDSN."
Connect to Vertica. This example uses an existing connection called ``VerticaDSN``.
For details on how to create a connection, see the :ref:`connection` tutorial.
You can skip the below cell if you already have an established connection.

Expand Down
2 changes: 1 addition & 1 deletion docs/source/examples_business_booking.rst
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@ This example uses the following version of VerticaPy:
vp.__version__
Connect to Vertica. This example uses an existing connection called "VerticaDSN."
Connect to Vertica. This example uses an existing connection called ``VerticaDSN``.
For details on how to create a connection, see the :ref:`connection` tutorial.
You can skip the below cell if you already have an established connection.

Expand Down
2 changes: 1 addition & 1 deletion docs/source/examples_business_churn.rst
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Expand Up @@ -354,7 +354,7 @@ We'll use a lift chart to help us identify which of our customers are likely to
.. raw:: html
:file: SPHINX_DIRECTORY/figures/examples_churn_lift_chart.html

By targeting less than 30% of the entire distribution, our predictions will be more than three times more accurate than the other 70%.
By targeting less than ``30%`` of the entire distribution, our predictions will be more than three times more accurate than the other ``70%``.

Conclusion
-----------
Expand Down
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